Ram C. Dahiya

49 total papers · 962 total citations
42 papers, 698 citations indexed

About

Ram C. Dahiya is a scholar working on Statistics and Probability, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ram C. Dahiya has authored 42 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ram C. Dahiya's work include Statistical Distribution Estimation and Applications (24 papers), Bayesian Methods and Mixture Models (14 papers) and Advanced Statistical Methods and Models (13 papers). Ram C. Dahiya is often cited by papers focused on Statistical Distribution Estimation and Applications (24 papers), Bayesian Methods and Mixture Models (14 papers) and Advanced Statistical Methods and Models (13 papers). Ram C. Dahiya collaborates with scholars based in United States, Ghana and Canada. Ram C. Dahiya's co-authors include John Gurland, Syed Akhter Hossain, Alan J. Gross, Saul Blumenthal, Ramesh M. Korwar, Irwin Guttman, R. Kleyle, Robert J. Young, Raymond W. Alden and N. Rao Chaganty and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Ram C. Dahiya

42 papers receiving 632 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ram C. Dahiya	446	160	142	120	114	42	698
Saul Blumenthal	562 1.3×	152 0.9×	100 0.7×	146 1.2×	69 0.6×	48	714
J. S. Dagpunar	184 0.4×	99 0.6×	202 1.4×	78 0.7×	106 0.9×	40	603
Naftali A. Langberg	434 1.0×	88 0.6×	240 1.7×	104 0.9×	171 1.5×	52	664
Martin Newby	267 0.6×	53 0.3×	385 2.7×	277 2.3×	127 1.1×	47	765
Frank M. Guess	447 1.0×	47 0.3×	227 1.6×	357 3.0×	34 0.3×	55	791
Leo A. Aroian	248 0.6×	124 0.8×	40 0.3×	145 1.2×	20 0.2×	43	715
K. B. Kulasekera	507 1.1×	128 0.8×	59 0.4×	154 1.3×	12 0.1×	52	754
Balgobin Nandram	366 0.8×	165 1.0×	16 0.1×	41 0.3×	18 0.2×	84	765
Huda M. Alshanbari	304 0.7×	66 0.4×	35 0.2×	210 1.8×	8 0.1×	74	655
Ram C. Tripathi	365 0.8×	139 0.9×	57 0.4×	109 0.9×	5 0.0×	38	769

Countries citing papers authored by Ram C. Dahiya

Since Specialization

Citations

This map shows the geographic impact of Ram C. Dahiya's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ram C. Dahiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram C. Dahiya more than expected).

Fields of papers citing papers by Ram C. Dahiya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram C. Dahiya. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ram C. Dahiya. The network helps show where Ram C. Dahiya may publish in the future.

Co-authorship network of co-authors of Ram C. Dahiya

This figure shows the co-authorship network connecting the top 25 collaborators of Ram C. Dahiya. A scholar is included among the top collaborators of Ram C. Dahiya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ram C. Dahiya. Ram C. Dahiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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